Check out this collection of posters to see how researchers apply deep learning techniques and are accelerating their work with the power of GPUs.
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels
Liqiang Wang, Associate Professor, University of Central Florida
Domain Adaption of Image Caption Model for Video Descriptions
Nithish Divakar, Research Engineer, Cogknit Semantics
Analysis of multimodal human-generated sensor data: A deep learning approach for early detection of dementia
Omar Costilla-Reyes, Researcher, University of Manchester, University of Manchester
The Development of Immediate Badminton Video Analysis System
Che-Rung Lee, Associate Professor, National Tsing Hua University
A Computational Approach to Diagnose Depression Using Twitter and fMRI Scans
Neeyanth Kopparapu, High School Researcher, Thomas Jefferson High School for Science and Technology
Binary-decomposed DCNN for accelerating computation and compressing model without retraining
Hironobu Fujiyoshi, Associate Professor, Chubu University
Biologically plausible learning for deep spiking neural networks
Ng Aik Beng, Senior Solutions Architect, NVIDIA
Cascade Capsule Network
Hongyang Li, Ph.D. candidate, The Chinese University of Hong Kong
Composable Unpaired Image to Image Translation
Anant Gupta, Masters Student, New York University
Gated Graph Neural Network: Implementing a Propagation Algorithm with nvGraph and cuBLAS
Sidney Melo, Professor, Fluminense Federal University
Handling data imbalance in deep learning
Isabelle Hupont, Research Scientist, Herta Security
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
Zhang-Wei Hong, Graduate student, National Tsing Hua University
Hierarchical AI framework for ART games
Lin Cong, AI Expert, Netease
NUF-Net: On-device Facial Recognition using Convolutional Neural Networks
Chakkrit Termritthikun, Student, Naresuan University
Reinforcement Learning for End-to-End Trainable Neural Dialog Models
Bing Liu, PhD Candidate, Carnegie Mellon University
Multimodal Fusion and Multi-GPU Computing based Early-stage Diagnosis of Mild Cognitive Impairment
Di Zhao, Associate Professor, Institute of Computing Technology, Chinese Academy of Sciences
You Only Need One - Game Design to Enhance Deep Learning for Fashion
Rajesh Kumar S A, CTO, Streamoid Technologies Inc
Crack Detection for Inspection with Deep Learning
Vijay Venkataraman, Research Scientist, Honeywell Aerospace - Advanced Technology
Open-Source Stand-Alone 8-bit Inference with ISAAC
Philippe Tillet, PhD Student, Harvard University
Curiosity-Driven Exploration by Self-Supervised Prediction
Deepak Pathak, Ph.D. Candidate, UC Berkeley
Sim2Real Visual Robotic Servoing for Navigation and Manipulation via Deep Reinforcement Learning
Fereshteh Sadeghi, PhD Candidate, University of Washington
Deep learning regulatory sequence drivers of chromatin accessibility dynamics during cellular reprogramming
Anna Shcherbina, Graduate Student, Stanford University
Get To The Point: Summarization with Pointer-Generator Networks
Abigail See, PhD Student, Stanford University